mirror of
https://github.com/webclinic017/drift.git
synced 2026-07-28 03:08:01 +00:00
Mark Aron Szulyovszky
b6cd6b14fe
* feat(Config): feature extractors are enabled one-by-one with a bool, added previous model to model.fit() * fix(Sweep): removed unused `other_features` parameter that fails sweep * feat(Config): using preset names for defining feature extractors again * fix(Tests): fixed model stub classes
42 lines
874 B
Python
42 lines
874 B
Python
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from typing import Literal, Optional
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from sklearn.base import clone
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from abc import ABC, abstractmethod, abstractproperty
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class Model(ABC):
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# data_format: Literal['dataframe', 'numpy']
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data_scaling: Literal["scaled", "unscaled"]
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# data_format: Literal["wide", "narrow"]
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only_column: Optional[str]
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@abstractmethod
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def fit(self, X, y, prev_model):
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pass
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@abstractmethod
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def predict(self, X):
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pass
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@abstractmethod
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def clone(self):
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pass
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class SKLearnModel(Model):
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# data_format = 'numpy'
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data_scaling = 'scaled'
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only_column = None
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def __init__(self, model):
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self.model = model
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def fit(self, X, y, prev_model):
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self.model.fit(X, y)
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def predict(self, X):
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return self.model.predict(X)
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def clone(self):
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return SKLearnModel(clone(self.model)) |